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A model partitioning method based on dynamic decoupling for the efficient simulation of multibody systems

Papadopoulos, Alessandro Vittorio LU and Leva, Alberto (2015) In Multibody System Dynamics 34(2). p.163-190
Abstract
The presence of different time scales in a dynamic model significantly hampers the efficiency of its simulation. In multibody systems the fact is particularly relevant, as the mentioned time scales may be very different, due for example to the coexistence of mechanical components controlled by electronic drive units, and may also appear in conjunction with significant nonlinearities. This paper proposes a systematic technique, based on the principles of dynamic decoupling, to partition a model based on the time scales that are relevant for the particular simulation studies to be performed, and as transparently as possible for the user. In accordance with said purpose, peculiar to the technique is its neat separation in two parts: a... (More)
The presence of different time scales in a dynamic model significantly hampers the efficiency of its simulation. In multibody systems the fact is particularly relevant, as the mentioned time scales may be very different, due for example to the coexistence of mechanical components controlled by electronic drive units, and may also appear in conjunction with significant nonlinearities. This paper proposes a systematic technique, based on the principles of dynamic decoupling, to partition a model based on the time scales that are relevant for the particular simulation studies to be performed, and as transparently as possible for the user. In accordance with said purpose, peculiar to the technique is its neat separation in two parts: a structural analysis of the model, that is general with respect to any possible simulation scenario, and a subsequent decoupled integration, which can conversely be (easily) tailored to the study at hand. Also, since the technique does not aim at reducing but rather at partitioning the model, the state space and the physical interpretation of the dynamic variables are inherently preserved. Moreover, the proposed analysis allows to define some novel indices relative to the separability of the system, thereby extending the idea of “stiffness” in a way that is particularly keen to its use for the improvement of simulation efficiency, be the envisaged integration scheme monolithic, parallel, or even based on co-simulation. Finally, thanks to the way the analysis phase is conceived, the technique is naturally applicable to both linear and nonlinear models. The paper contains a methodological presentation of the proposed technique, that is related to alternatives available in the literature so as to evidence the peculiarities just sketched, and some application examples, illustrating the achieved advantages and motivating the major design choice from an operational viewpoint. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Efficient Simulation, Weak Coupling, Multibody Systems
in
Multibody System Dynamics
volume
34
issue
2
pages
163 - 190
publisher
Springer
external identifiers
  • wos:000354212400003
  • scopus:84929522245
ISSN
1384-5640
DOI
10.1007/s11044-014-9415-x
language
English
LU publication?
yes
id
d00a35c8-7d79-4212-b95c-4176046cd83a (old id 4359431)
date added to LUP
2014-03-17 11:01:39
date last changed
2017-01-01 05:45:44
@article{d00a35c8-7d79-4212-b95c-4176046cd83a,
  abstract     = {The presence of different time scales in a dynamic model significantly hampers the efficiency of its simulation. In multibody systems the fact is particularly relevant, as the mentioned time scales may be very different, due for example to the coexistence of mechanical components controlled by electronic drive units, and may also appear in conjunction with significant nonlinearities. This paper proposes a systematic technique, based on the principles of dynamic decoupling, to partition a model based on the time scales that are relevant for the particular simulation studies to be performed, and as transparently as possible for the user. In accordance with said purpose, peculiar to the technique is its neat separation in two parts: a structural analysis of the model, that is general with respect to any possible simulation scenario, and a subsequent decoupled integration, which can conversely be (easily) tailored to the study at hand. Also, since the technique does not aim at reducing but rather at partitioning the model, the state space and the physical interpretation of the dynamic variables are inherently preserved. Moreover, the proposed analysis allows to define some novel indices relative to the separability of the system, thereby extending the idea of “stiffness” in a way that is particularly keen to its use for the improvement of simulation efficiency, be the envisaged integration scheme monolithic, parallel, or even based on co-simulation. Finally, thanks to the way the analysis phase is conceived, the technique is naturally applicable to both linear and nonlinear models. The paper contains a methodological presentation of the proposed technique, that is related to alternatives available in the literature so as to evidence the peculiarities just sketched, and some application examples, illustrating the achieved advantages and motivating the major design choice from an operational viewpoint.},
  author       = {Papadopoulos, Alessandro Vittorio and Leva, Alberto},
  issn         = {1384-5640},
  keyword      = {Efficient Simulation,Weak Coupling,Multibody Systems},
  language     = {eng},
  number       = {2},
  pages        = {163--190},
  publisher    = {Springer},
  series       = {Multibody System Dynamics},
  title        = {A model partitioning method based on dynamic decoupling for the efficient simulation of multibody systems},
  url          = {http://dx.doi.org/10.1007/s11044-014-9415-x},
  volume       = {34},
  year         = {2015},
}